Outputs (471)

Wood properties & strength grading (2022)
Presentation / Conference Contribution
Ridley-Ellis, D. (2022, December). Wood properties & strength grading. Presented at James Jones & Sons Architects' and Structural Engineers' Open Day, Lockerbie

James Jones & Sons held an open day for architects and structural engineers at its flagship sawmill site in Lockerbie.

"James Jones & Sons' new visitor building at its flagship sawmill site in Lockerbie has attracted considerable interest in the... Read More about Wood properties & strength grading.

Accelerating neural network architecture search using multi-GPU high-performance computing (2022)
Journal Article
Lupión, M., Cruz, N. C., Sanjuan, J. F., Paechter, B., & Ortigosa, P. M. (2023). Accelerating neural network architecture search using multi-GPU high-performance computing. Journal of Supercomputing, 79, 7609-7625. https://doi.org/10.1007/s11227-022-04960-z

Neural networks stand out from artificial intelligence because they can complete challenging tasks, such as image classification. However, designing a neural network for a particular problem requires experience and tedious trial and error. Automating... Read More about Accelerating neural network architecture search using multi-GPU high-performance computing.

Generating real-time detailed ground visualisations from sparse aerial point clouds (2022)
Presentation / Conference Contribution
Murray, A., Mitchell, S., Bradley, A., Waite, E., Ross, C., Jamrozy, J., & Mitchell, K. (2022, December). Generating real-time detailed ground visualisations from sparse aerial point clouds. Paper presented at CVMP 2022: The 19th ACM SIGGRAPH European Conference on Visual Media Production, London

We present an informed kind of atomic rendering primitive, which forms a local adjacency aware classified particle basis decoupled from texture and topology. Suited to visual synthesis of detailed landscapes inferred from sparse unevenly distributed... Read More about Generating real-time detailed ground visualisations from sparse aerial point clouds.

Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification (2022)
Journal Article
Jin, J., Zhang, Q., He, J., & Yu, H. (2022). Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification. Electronics, 11(23), Article 3969. https://doi.org/10.3390/electronics11233969

Deep neural networks have proven to be effective in solving computer vision and natural language processing problems. To fully leverage its power, manually designed network templates, i.e., Residual Networks, are introduced to deal with various visio... Read More about Quantum Dynamic Optimization Algorithm for Neural Architecture Search on Image Classification.

Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts (2022)
Journal Article
Oluleye, B. I., Chan, D. W., Olawumi, T. O., & Saka, A. B. (2023). Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts. Building and Environment, 228, Article 109885. https://doi.org/10.1016/j.buildenv.2022.109885

This study evaluates simultaneously the symmetries and asymmetries on the classification of barriers to circular economy (CE) adoption in the building construction industry (BCI) of developing and developed economies. This is crucial because the vagu... Read More about Assessment of symmetries and asymmetries on barriers to circular economy adoption in the construction industry towards zero waste: A survey of international experts.

Fusing external knowledge resources for natural language understanding techniques: A survey (2022)
Journal Article
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., De, S., & Hussain, A. (2023). Fusing external knowledge resources for natural language understanding techniques: A survey. Information Fusion, 92, 190-204. https://doi.org/10.1016/j.inffus.2022.11.025

Knowledge resources, e.g. knowledge graphs, which formally represent essential semantics and information for logic inference and reasoning, can compensate for the unawareness nature of many natural language processing techniques based on deep neural... Read More about Fusing external knowledge resources for natural language understanding techniques: A survey.

Internet of drones security: taxonomies, open issues, and future directions (2022)
Journal Article
Derhab, A., Cheikhrouhou, O., Allouch, A., Koubaa, A., Qureshi, B., Ferrag, M. A., Maglaras, L., & Khan, F. A. (2023). Internet of drones security: taxonomies, open issues, and future directions. Vehicular Communications, 39, Article 100552. https://doi.org/10.1016/j.vehcom.2022.100552

Unmanned Aerial Vehicles (UAVs), also known as drones, have recently become one of the most important technological breakthroughs. They have opened the horizon for a vast array of applications and paved the way for a diversity of innovative solutions... Read More about Internet of drones security: taxonomies, open issues, and future directions.

Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images (2022)
Journal Article
Liu, Y., Shen, J., Yang, L., Yu, H., & Bian, G. (2023). Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images. Computers in Biology and Medicine, 152, Article 106341. https://doi.org/10.1016/j.compbiomed.2022.106341

Accurate segmentation of retinal vessels from fundus images is fundamental for the diagnosis of numerous diseases of eye, and an automated vessel segmentation method can effectively help clinicians to make accurate diagnosis for the patients and prov... Read More about Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images.

Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia (2022)
Presentation / Conference Contribution
Mohd Saudi, A., Abdullah, A., Shafii, N., Khairuddin, M., Ismail, M., Mejía, P., Kadir, K., Saudi, M., Kamarudin, M., Muhammad-Sukki, F., Ali, M., & Bani, N. (2022, November). Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia. Presented at The 3rd International Conference on Medical Science Technology, Online

Air pollution is one of the most pressing environmental issues in the world. The district of Hulu Langat, bordering the capital city of Kuala Lumpur, is the focus area of the surrounding population. The district experienced a decline in air quality i... Read More about Assessment of Ambient Air Quality in Hulu Langat District, Selangor, Malaysia.

Decarbonising the Transport Industry (2022)
Presentation / Conference Contribution
Muhammad Sukki, F. (2022, November). Decarbonising the Transport Industry. Presented at Research Seminar, Edinburgh Napier University

The electric vehicles (EVs) sales in Scotland increased by 97% in 2020, but Scotland still lags behinds when compared to other locations in the UK. One of the reasons for the slow rollout is limited charging infrastructure to power the EVs especially... Read More about Decarbonising the Transport Industry.